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General Inquirer
Rachel Campbell, Shawna Jackson, Lisa Tselebidis
General Inquirer: Basics Created by Philip Stone in the 1960s
Homepage: http://www.wjh.harvard.edu/~inquirer/ Provides a word count Uses the Harvard IV-4 dictionary and Lasswell
dictionary content analysis categories A total of 182 dictionary categories
http://www.wjh.harvard.edu/~inquirer/homecat.htm Five categories based on social cognition work
of Semin and Fiedler User can also create customized dictionaries
General Inquirer: Basics Limited version can be found at:
http://www.webuse.umd.edu:9090/
Full version can be obtained through Dr. Neuendorf or found in the CATI lab for Cleveland State University students
General Inquirer: Harvard IV-4 categories - Examples Reflect Charles Osgood’s semantic differential
findings Basic language universals
Pstv – 1045 positive words Subset of 557 words are tagged Affil – indicates
affiliation or supportiveness
Ngtv – 1160 negative words Subset of 833 words are tagged Hostile – indicates
attitude or concern with hostility and aggressiveness
General Inquirer: Harvard IV-4 categories Strong – 1902 words implying strength
Subset of 689 words tagged Power – indicate concern with power, control, or authority
Weak – 755 words implying weakness Subset of 284 words tagged Submit – indicate
submission, dependence, vulnerability, withdrawal
Active – 2045 words implying active orientation
Passive – 911 words indicating passive orientation
General Inquirer: Lasswell value dictionaries Four deference domains: power, rectitude, respect,
affiliation Four welfare domains: wealth, well-being,
enlightenment, skill Example of Power:
PowGain = Power Gain, 65 words about power increasing
PowLoss = Power Loss, 109 words of power decreasing
PowEnds = Power Ends, 30 words about the goals of the power process
PowAren = Power Arenas, 53 referring to political places and environments (not nation-states)
General Inquirer: Purpose Purpose: Analyze content of three different
reports on the Republican primary debate from September 22, 2011
CNN (national)
Cleveland Plain Dealer (local)
San Jose Mercury News (local)
General Inquirer: Instructions Before we get started…
Input Convert all of your articles in to .txt files Place all .txt files in a folder called “testdir”, and save it
to the General Inquirer folder
Output Create a blank excel sheet titled Output.xls and save it
to the General Inquirer folder
General Inquirer: Instructions
Main screen
General Inquirer: Instructions - Input
Type “testdir” in the Input field if it not already there
General Inquirer: Instructions - Output
Click Browse and locate the output.xls file
Note: no changes are made to the Dictionary field.
General Inquirer: Instructions - Run
Once your Input and Output are set, click Run.
General Inquirer: Instructions – Results
Relocate the Output.xls file and click open
General Inquirer: Instructions – Results – Tags (example shows one case only)
General Inquirer: Instructions – Results - Tags
CNN
MercuryNews0
20
40
60
80
100
120
140
160
Word Tags for GOP debate coverage
CNN
PD
MercuryNews
General Inquirer: Instructions – Results - Tags The news articles used mostly strong and
active words
Weak and submissive words were rarely used
Overall, results are what one would expect of a candidate in a debate
He or she will want to appear strong and capable with faith in his or her ideals
General Inquirer: Instructions – Word Count Use the same process as Tags, but make sure
the Words option is selected
General Inquirer: Instructions – Results - Word Count
General Inquirer: Instructions – Results - Word Count The most used words relevant to the debate were: candidate, debate, Florida, security, social, state, Perry, Romney
The most used words overall were: the, are, to, of, said…
A limitation of the word count is that you have to scan the results to eliminate unnecessary words